# importing our data
data = data.import()
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the condition has length > 1 and only the first element will be used
head(data)

Overview

summary(data)
    dtPosix                          dt                                      dt_iso        city_id             temp          temp_min        temp_max    
 Min.   :2017-01-01 00:00:00   Min.   :1.483e+09   2017-03-18 06:00:00 +0000 UTC:   3   Min.   :2950159   Min.   :263.1   Min.   :261.1   Min.   :263.7  
 1st Qu.:2017-04-01 10:45:00   1st Qu.:1.491e+09   2017-03-30 01:00:00 +0000 UTC:   3   1st Qu.:2950159   1st Qu.:277.1   1st Qu.:277.1   1st Qu.:277.4  
 Median :2017-07-03 15:30:00   Median :1.499e+09   2017-03-30 02:00:00 +0000 UTC:   3   Median :2950159   Median :283.1   Median :283.1   Median :283.1  
 Mean   :2017-07-03 03:05:03   Mean   :1.499e+09   2017-03-30 03:00:00 +0000 UTC:   3   Mean   :2950159   Mean   :283.4   Mean   :283.0   Mean   :283.7  
 3rd Qu.:2017-10-04 02:15:00   3rd Qu.:1.507e+09   2017-03-30 04:00:00 +0000 UTC:   3   3rd Qu.:2950159   3rd Qu.:289.1   3rd Qu.:289.1   3rd Qu.:289.1  
 Max.   :2017-12-31 23:00:00   Max.   :1.515e+09   (Other)                      :9104   Max.   :2950159   Max.   :305.1   Max.   :305.1   Max.   :305.1  
                               NA's   :37          NA's                         :  37   NA's   :37        NA's   :37      NA's   :37      NA's   :37     
    pressure       humidity        wind_speed       wind_deg        rain_3h        clouds_all       weather_id     weather_main        weather_description
 Min.   : 980   Min.   : 14.00   Min.   : 0.00   Min.   :  0.0   Min.   :0.118   Min.   :  0.00   Min.   :200.0   Clouds :3434   Sky is Clear    :2972    
 1st Qu.:1010   1st Qu.: 67.00   1st Qu.: 2.00   1st Qu.:120.0   1st Qu.:0.150   1st Qu.:  0.00   1st Qu.:701.0   Clear  :2973   broken clouds   :2380    
 Median :1016   Median : 81.00   Median : 3.00   Median :230.0   Median :0.380   Median : 75.00   Median :800.0   Rain   :1195   light rain      : 803    
 Mean   :1015   Mean   : 77.17   Mean   : 3.43   Mean   :197.5   Mean   :0.672   Mean   : 45.13   Mean   :728.3   Mist   : 598   mist            : 598    
 3rd Qu.:1021   3rd Qu.: 93.00   3rd Qu.: 5.00   3rd Qu.:270.0   3rd Qu.:0.889   3rd Qu.: 75.00   3rd Qu.:803.0   Fog    : 383   scattered clouds: 536    
 Max.   :1043   Max.   :100.00   Max.   :14.00   Max.   :360.0   Max.   :9.865   Max.   :100.00   Max.   :804.0   (Other): 536   (Other)         :1830    
 NA's   :37     NA's   :37       NA's   :37      NA's   :37      NA's   :9066    NA's   :37       NA's   :37      NA's   :  37   NA's            :  37    
  weather_icon      temp.c        temp.c.group       weekday         hours         chb.all       chb.background    chb.traffic       cht.all      
 01n    :1593   Min.   :-10.02   Min.   :-10.00   sun    :1331   4      : 392   Min.   :0.2000   Min.   :0.1000   Min.   :0.200   Min.   : 0.000  
 04d    :1390   1st Qu.:  4.00   1st Qu.:  5.00   wed    :1316   6      : 392   1st Qu.:0.6667   1st Qu.:0.5000   1st Qu.:0.750   1st Qu.: 1.333  
 01d    :1379   Median : 10.00   Median : 11.00   fri    :1314   1      : 391   Median :0.9333   Median :0.7000   Median :1.050   Median : 2.000  
 04n    :1171   Mean   : 10.21   Mean   : 10.24   thu    :1303   3      : 390   Mean   :1.1730   Mean   :0.9167   Mean   :1.303   Mean   : 2.483  
 50n    : 673   3rd Qu.: 16.00   3rd Qu.: 17.00   tue    :1290   2      : 389   3rd Qu.:1.3667   3rd Qu.:1.1000   3rd Qu.:1.550   3rd Qu.: 3.000  
 (Other):2913   Max.   : 32.00   Max.   : 32.00   (Other):2565   (Other):7165   Max.   :8.9000   Max.   :9.8000   Max.   :9.400   Max.   :19.667  
 NA's   :  37   NA's   :37       NA's   :1647     NA's   :  37   NA's   :  37   NA's   :1        NA's   :162      NA's   :9       NA's   :1       
 cht.background   cht.traffic         co.all         co.traffic        no2.all        no2.background    no2.traffic       no2.suburb        no.all        
 Min.   : 0.00   Min.   : 0.000   Min.   :0.1000   Min.   :0.1000   Min.   :  3.929   Min.   :  4.00   Min.   :  4.00   Min.   : 1.20   Min.   :  0.4375  
 1st Qu.: 1.00   1st Qu.: 1.500   1st Qu.:0.2667   1st Qu.:0.2667   1st Qu.: 19.750   1st Qu.: 15.40   1st Qu.: 31.00   1st Qu.: 6.60   1st Qu.:  6.4375  
 Median : 1.00   Median : 2.500   Median :0.3500   Median :0.3500   Median : 27.625   Median : 22.40   Median : 44.83   Median :10.80   Median : 13.0000  
 Mean   : 1.81   Mean   : 2.819   Mean   :0.3867   Mean   :0.3867   Mean   : 29.279   Mean   : 25.35   Mean   : 45.88   Mean   :12.94   Mean   : 17.8855  
 3rd Qu.: 2.00   3rd Qu.: 3.500   3rd Qu.:0.4500   3rd Qu.:0.4500   3rd Qu.: 36.806   3rd Qu.: 32.60   3rd Qu.: 58.33   3rd Qu.:17.00   3rd Qu.: 23.0000  
 Max.   :24.00   Max.   :18.500   Max.   :2.2500   Max.   :2.2500   Max.   :144.062   Max.   :171.40   Max.   :187.67   Max.   :66.40   Max.   :273.3125  
 NA's   :161     NA's   :4        NA's   :1        NA's   :1        NA's   :1         NA's   :1        NA's   :1        NA's   :1       NA's   :1         
 no.background       no.traffic        no.suburb         nox.all       nox.background    nox.traffic        nox.suburb         o3.all      
 Min.   :  0.000   Min.   :  1.167   Min.   : 0.000   Min.   :  6.00   Min.   :  5.20   Min.   :  7.833   Min.   :  1.60   Min.   :  0.50  
 1st Qu.:  1.250   1st Qu.: 15.333   1st Qu.: 0.200   1st Qu.: 30.69   1st Qu.: 18.20   1st Qu.: 55.333   1st Qu.:  7.00   1st Qu.: 24.17  
 Median :  2.800   Median : 31.143   Median : 0.400   Median : 48.27   Median : 27.00   Median : 94.000   Median : 11.60   Median : 42.50  
 Mean   :  6.473   Mean   : 40.297   Mean   : 1.783   Mean   : 56.59   Mean   : 35.22   Mean   :107.422   Mean   : 15.66   Mean   : 44.07  
 3rd Qu.:  6.000   3rd Qu.: 53.500   3rd Qu.: 1.200   3rd Qu.: 71.00   3rd Qu.: 41.60   3rd Qu.:140.333   3rd Qu.: 19.25   3rd Qu.: 60.67  
 Max.   :361.800   Max.   :419.667   Max.   :90.000   Max.   :561.44   Max.   :723.80   Max.   :828.500   Max.   :189.20   Max.   :142.67  
 NA's   :1         NA's   :1         NA's   :1        NA's   :1        NA's   :1        NA's   :1         NA's   :1        NA's   :1       
 o3.background      o3.traffic     o3.suburb         pm10.all      pm10.background    pm10.traffic     pm10.suburb        so2.all        so2.background  
 Min.   :  0.00   Min.   : 1.0   Min.   :  0.25   Min.   :  4.00   Min.   :  3.333   Min.   :  5.00   Min.   :  3.00   Min.   :  0.000   Min.   : 0.000  
 1st Qu.: 20.00   1st Qu.:11.0   1st Qu.: 25.62   1st Qu.: 13.91   1st Qu.: 12.667   1st Qu.: 16.80   1st Qu.: 10.00   1st Qu.:  0.500   1st Qu.: 0.000  
 Median : 38.50   Median :25.0   Median : 45.00   Median : 18.82   Median : 17.667   Median : 22.40   Median : 14.00   Median :  1.000   Median : 1.000  
 Mean   : 40.46   Mean   :24.3   Mean   : 45.94   Mean   : 22.70   Mean   : 21.351   Mean   : 26.68   Mean   : 17.29   Mean   :  1.522   Mean   : 1.198  
 3rd Qu.: 57.50   3rd Qu.:35.0   3rd Qu.: 63.00   3rd Qu.: 27.70   3rd Qu.: 26.333   3rd Qu.: 32.20   3rd Qu.: 21.33   3rd Qu.:  1.500   3rd Qu.: 1.000  
 Max.   :138.00   Max.   :72.0   Max.   :145.00   Max.   :283.73   Max.   :211.667   Max.   :465.40   Max.   :106.33   Max.   :356.000   Max.   :27.000  
 NA's   :2        NA's   :8469   NA's   :1        NA's   :1        NA's   :1         NA's   :1        NA's   :1        NA's   :4         NA's   :27      
  so2.traffic      wind.deg.name     
 Min.   :  0.000   Length:9156       
 1st Qu.:  1.000   Class :character  
 Median :  1.000   Mode  :character  
 Mean   :  1.844                     
 3rd Qu.:  2.000                     
 Max.   :699.000                     
 NA's   :54                          

pm10 over the year

pollutant = c("pm10.background", "pm10.traffic", "pm10.suburb")
plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")

  
plot.pollutant(data, pollutant, month = "01", yMax = 150)

plot.pollutant(data, pollutant, month = "02")

plot.pollutant(data, pollutant, month = "03")

plot.pollutant(data, pollutant, month = "04")

plot.pollutant(data, pollutant, month = "05")

plot.pollutant(data, pollutant, month = "06")

plot.pollutant(data, pollutant, month = "07")

plot.pollutant(data, pollutant, month = "08")

plot.pollutant(data, pollutant, month = "09")

plot.pollutant(data, pollutant, month = "10")

plot.pollutant(data, pollutant, month = "11")

plot.pollutant(data, pollutant, month = "12")

chb over the year

pollutant = c("chb.background", "chb.traffic")
plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")

  
plot.pollutant(data, pollutant, month = "01")

plot.pollutant(data, pollutant, month = "02")

plot.pollutant(data, pollutant, month = "03")

plot.pollutant(data, pollutant, month = "04")

plot.pollutant(data, pollutant, month = "05")

plot.pollutant(data, pollutant, month = "06")

plot.pollutant(data, pollutant, month = "07")

plot.pollutant(data, pollutant, month = "08")

plot.pollutant(data, pollutant, month = "09")

plot.pollutant(data, pollutant, month = "10")

plot.pollutant(data, pollutant, month = "11")

plot.pollutant(data, pollutant, month = "12")

CHT over the year

pollutant = c("cht.background", "cht.traffic")
  
plot.pollutant(data, pollutant, month = "01")

plot.pollutant(data, pollutant, month = "02")

plot.pollutant(data, pollutant, month = "03")

plot.pollutant(data, pollutant, month = "04")

plot.pollutant(data, pollutant, month = "05")

plot.pollutant(data, pollutant, month = "06")

plot.pollutant(data, pollutant, month = "07")

plot.pollutant(data, pollutant, month = "08")

plot.pollutant(data, pollutant, month = "09")

plot.pollutant(data, pollutant, month = "10")

plot.pollutant(data, pollutant, month = "11")

plot.pollutant(data, pollutant, month = "12")

CO over the year

# there are only traffic sensors for co
pollutant = c("co.traffic")
plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")

  
plot.pollutant(data, pollutant, month = "01")

plot.pollutant(data, pollutant, month = "02")

plot.pollutant(data, pollutant, month = "03")

plot.pollutant(data, pollutant, month = "04")

plot.pollutant(data, pollutant, month = "05")

plot.pollutant(data, pollutant, month = "06")

plot.pollutant(data, pollutant, month = "07")

plot.pollutant(data, pollutant, month = "08")

plot.pollutant(data, pollutant, month = "09")

plot.pollutant(data, pollutant, month = "10")

plot.pollutant(data, pollutant, month = "11")

plot.pollutant(data, pollutant, month = "12")

5. no2 over the year

pollutant = c("no2.background", "no2.traffic")
plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")

  
plot.pollutant(data, pollutant, month = "01")

plot.pollutant(data, pollutant, month = "02")

plot.pollutant(data, pollutant, month = "03")

plot.pollutant(data, pollutant, month = "04")

plot.pollutant(data, pollutant, month = "05")

plot.pollutant(data, pollutant, month = "06")

plot.pollutant(data, pollutant, month = "07")

plot.pollutant(data, pollutant, month = "08")

plot.pollutant(data, pollutant, month = "09")

plot.pollutant(data, pollutant, month = "10")

plot.pollutant(data, pollutant, month = "11")

plot.pollutant(data, pollutant, month = "12")

6. O3 over the year

pollutant = c("o3.background", "o3.traffic", "o3.suburb")
  
plot.pollutant(data, pollutant, month = "01")

plot.pollutant(data, pollutant, month = "02")

plot.pollutant(data, pollutant, month = "03")

plot.pollutant(data, pollutant, month = "04")

plot.pollutant(data, pollutant, month = "05")

plot.pollutant(data, pollutant, month = "06")

plot.pollutant(data, pollutant, month = "07")

plot.pollutant(data, pollutant, month = "08")

plot.pollutant(data, pollutant, month = "09")

plot.pollutant(data, pollutant, month = "10")

plot.pollutant(data, pollutant, month = "11")

plot.pollutant(data, pollutant, month = "12")

so2 over the year

pollutant = c("so2.background", "so2.traffic")
plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak", yMax = 15)

  
plot.pollutant(data, pollutant, month = "01", yMax = 15)

plot.pollutant(data, pollutant, month = "02")

plot.pollutant(data, pollutant, month = "03")

plot.pollutant(data, pollutant, month = "04")

plot.pollutant(data, pollutant, month = "05")

plot.pollutant(data, pollutant, month = "06")

plot.pollutant(data, pollutant, month = "07")

plot.pollutant(data, pollutant, month = "08")

plot.pollutant(data, pollutant, month = "09")

plot.pollutant(data, pollutant, month = "10")

plot.pollutant(data, pollutant, month = "11")

plot.pollutant(data, pollutant, month = "12")

wind correlation

ggplot(data, aes(wind.deg.name,wind_speed, group = wind.deg.name)) + geom_boxplot() + ylim(0, 15) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,pm10.all, group = wind_speed)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,co.traffic, group = wind_speed)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,no2.all, group = wind_speed)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,so2.all, group = wind_speed)) + geom_boxplot()  + ylim(0, 5)  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,o3.all, group = wind_speed)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,chb.all, group = wind_speed)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,cht.all, group = wind_speed)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,pm10.all, group = wind.deg.name)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,co.traffic, group = wind.deg.name)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,no2.all, group = wind.deg.name)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,so2.all, group = wind.deg.name)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,o3.all, group = wind.deg.name)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,chb.all, group = wind.deg.name)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,cht.all, group = wind.deg.name)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

temp correlation

ggplot(data, aes(temp.c.group, pm10.all, group = temp.c.group)) + geom_boxplot() + ylim(0, 15) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(temp.c.group, co.traffic, group = temp.c.group)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(temp.c.group, no2.all, group = temp.c.group)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(temp.c.group, so2.all, group = temp.c.group)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(temp.c.group, o3.all, group = temp.c.group)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(temp.c.group, chb.all, group = temp.c.group)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(temp.c.group, cht.all, group = temp.c.group)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

weather main correlation

ggplot(data, aes(weather_main, pm10.all, group = weather_main)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(weather_main, co.traffic, group = weather_main)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(weather_main, no2.all, group = weather_main)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(weather_main, so2.all, group = weather_main)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(weather_main, o3.all, group = weather_main)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(weather_main, chb.all, group = weather_main)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(weather_main, cht.all, group = weather_main)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

pressure correlation

ggplot(data, aes(pressure, pm10.all, group = pressure)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(pressure, co.traffic, group = pressure)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(pressure, no2.all, group = pressure)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(pressure, so2.all, group = pressure)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(pressure, o3.all, group = pressure)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(pressure, chb.all, group = pressure)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(pressure, cht.all, group = pressure)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

humidity correlation

ggplot(data, aes(humidity, pm10.all, group = humidity)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(humidity, co.traffic, group = humidity)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(humidity, no2.all, group = humidity)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(humidity, so2.all, group = humidity)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(humidity, o3.all, group = humidity)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(humidity, chb.all, group = humidity)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(humidity, cht.all, group = humidity)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

clouds correlation

ggplot(data, aes(clouds_all, pm10.all, group = clouds_all)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(clouds_all, co.traffic, group = clouds_all)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(clouds_all, no2.all, group = clouds_all)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(clouds_all, so2.all, group = clouds_all)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(clouds_all, o3.all, group = clouds_all)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(clouds_all, chb.all, group = clouds_all)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(clouds_all, cht.all, group = clouds_all)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

pollutant to pollutant correlations

---
title: "Data Exploration of pollutants plus weather in Berlin"
output:
  html_document:
    df_print: paged
  pdf_document: default
  html_notebook: default
---

```{r setup, echo=FALSE}
source("./dataImport.R")
library(lattice)
require(ggplot2)
require(reshape2)
require(plyr)

plot.pollutant = function(data, pollutants, month="00", day="00", title="", yMax=0) {
  df = data[c("dtPosix", pollutants)]
  df = melt(df, id.vars = 'dtPosix', variable.name = "pollutant", value.name = "value")
  
  if (day == "00" & month != "00")
    df = subset(df, format.Date(dtPosix, "%m")==month)
  else if (day != "00" & month != "00")
    df = subset(df, format.Date(dtPosix, "%m")==month & format.Date(dtPosix, "%d")==day)
  
  plot <- ggplot(df, aes(dtPosix,value)) + geom_point(aes(colour = pollutant))

  if (yMax != 0) {
    plot <- plot + coord_cartesian(ylim = c(0, yMax)) 
  }
  
    plot + ggtitle(title)
}  
```


```{r}
# importing our data
data = data.import()

head(data)
```


## Overview
```{r}
summary(data)
```

## pm10 over the year

```{r}
pollutant = c("pm10.background", "pm10.traffic", "pm10.suburb")

plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")
  
plot.pollutant(data, pollutant, month = "01", yMax = 150)
plot.pollutant(data, pollutant, month = "02")
plot.pollutant(data, pollutant, month = "03")
plot.pollutant(data, pollutant, month = "04")
plot.pollutant(data, pollutant, month = "05")
plot.pollutant(data, pollutant, month = "06")
plot.pollutant(data, pollutant, month = "07")
plot.pollutant(data, pollutant, month = "08")
plot.pollutant(data, pollutant, month = "09")
plot.pollutant(data, pollutant, month = "10")
plot.pollutant(data, pollutant, month = "11")
plot.pollutant(data, pollutant, month = "12")
```


## chb over the year
```{r}
pollutant = c("chb.background", "chb.traffic")

plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")
  
plot.pollutant(data, pollutant, month = "01")
plot.pollutant(data, pollutant, month = "02")
plot.pollutant(data, pollutant, month = "03")
plot.pollutant(data, pollutant, month = "04")
plot.pollutant(data, pollutant, month = "05")
plot.pollutant(data, pollutant, month = "06")
plot.pollutant(data, pollutant, month = "07")
plot.pollutant(data, pollutant, month = "08")
plot.pollutant(data, pollutant, month = "09")
plot.pollutant(data, pollutant, month = "10")
plot.pollutant(data, pollutant, month = "11")
plot.pollutant(data, pollutant, month = "12")
```

## CHT over the year
```{r}
pollutant = c("cht.background", "cht.traffic")
  
plot.pollutant(data, pollutant, month = "01")
plot.pollutant(data, pollutant, month = "02")
plot.pollutant(data, pollutant, month = "03")
plot.pollutant(data, pollutant, month = "04")
plot.pollutant(data, pollutant, month = "05")
plot.pollutant(data, pollutant, month = "06")
plot.pollutant(data, pollutant, month = "07")
plot.pollutant(data, pollutant, month = "08")
plot.pollutant(data, pollutant, month = "09")
plot.pollutant(data, pollutant, month = "10")
plot.pollutant(data, pollutant, month = "11")
plot.pollutant(data, pollutant, month = "12")
```

## CO over the year
```{r}
# there are only traffic sensors for co
pollutant = c("co.traffic")

plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")
  
plot.pollutant(data, pollutant, month = "01")
plot.pollutant(data, pollutant, month = "02")
plot.pollutant(data, pollutant, month = "03")
plot.pollutant(data, pollutant, month = "04")
plot.pollutant(data, pollutant, month = "05")
plot.pollutant(data, pollutant, month = "06")
plot.pollutant(data, pollutant, month = "07")
plot.pollutant(data, pollutant, month = "08")
plot.pollutant(data, pollutant, month = "09")
plot.pollutant(data, pollutant, month = "10")
plot.pollutant(data, pollutant, month = "11")
plot.pollutant(data, pollutant, month = "12")
```

## 5. no2 over the year
```{r}
pollutant = c("no2.background", "no2.traffic")

plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak")
  
plot.pollutant(data, pollutant, month = "01")
plot.pollutant(data, pollutant, month = "02")
plot.pollutant(data, pollutant, month = "03")
plot.pollutant(data, pollutant, month = "04")
plot.pollutant(data, pollutant, month = "05")
plot.pollutant(data, pollutant, month = "06")
plot.pollutant(data, pollutant, month = "07")
plot.pollutant(data, pollutant, month = "08")
plot.pollutant(data, pollutant, month = "09")
plot.pollutant(data, pollutant, month = "10")
plot.pollutant(data, pollutant, month = "11")
plot.pollutant(data, pollutant, month = "12")
```

## 6. O3 over the year
```{r}
pollutant = c("o3.background", "o3.traffic", "o3.suburb")
  
plot.pollutant(data, pollutant, month = "01")
plot.pollutant(data, pollutant, month = "02")
plot.pollutant(data, pollutant, month = "03")
plot.pollutant(data, pollutant, month = "04")
plot.pollutant(data, pollutant, month = "05")
plot.pollutant(data, pollutant, month = "06")
plot.pollutant(data, pollutant, month = "07")
plot.pollutant(data, pollutant, month = "08")
plot.pollutant(data, pollutant, month = "09")
plot.pollutant(data, pollutant, month = "10")
plot.pollutant(data, pollutant, month = "11")
plot.pollutant(data, pollutant, month = "12")
```

## so2 over the year
```{r}
pollutant = c("so2.background", "so2.traffic")

plot.pollutant(data, pollutant, month = "01", day = "01", title = "1. January with silvester firework peak", yMax = 15)
  
plot.pollutant(data, pollutant, month = "01", yMax = 15)
plot.pollutant(data, pollutant, month = "02")
plot.pollutant(data, pollutant, month = "03")
plot.pollutant(data, pollutant, month = "04")
plot.pollutant(data, pollutant, month = "05")
plot.pollutant(data, pollutant, month = "06")
plot.pollutant(data, pollutant, month = "07")
plot.pollutant(data, pollutant, month = "08")
plot.pollutant(data, pollutant, month = "09")
plot.pollutant(data, pollutant, month = "10")
plot.pollutant(data, pollutant, month = "11")
plot.pollutant(data, pollutant, month = "12")
```

## wind correlation
```{r}

ggplot(data, aes(wind.deg.name,wind_speed, group = wind.deg.name)) + geom_boxplot() + ylim(0, 15) + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind_speed,pm10.all, group = wind_speed)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind_speed,co.traffic, group = wind_speed)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind_speed,no2.all, group = wind_speed)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind_speed,so2.all, group = wind_speed)) + geom_boxplot()  + ylim(0, 5)  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind_speed,o3.all, group = wind_speed)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind_speed,chb.all, group = wind_speed)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind_speed,cht.all, group = wind_speed)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(wind.deg.name,pm10.all, group = wind.deg.name)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind.deg.name,co.traffic, group = wind.deg.name)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind.deg.name,no2.all, group = wind.deg.name)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind.deg.name,so2.all, group = wind.deg.name)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind.deg.name,o3.all, group = wind.deg.name)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind.deg.name,chb.all, group = wind.deg.name)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(wind.deg.name,cht.all, group = wind.deg.name)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")




```


## temp correlation
```{r}
ggplot(data, aes(temp.c.group, pm10.all, group = temp.c.group)) + geom_boxplot() + ylim(0, 15) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(temp.c.group, co.traffic, group = temp.c.group)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(temp.c.group, no2.all, group = temp.c.group)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(temp.c.group, so2.all, group = temp.c.group)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(temp.c.group, o3.all, group = temp.c.group)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(temp.c.group, chb.all, group = temp.c.group)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(temp.c.group, cht.all, group = temp.c.group)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
```


## weather main correlation
```{r}
ggplot(data, aes(weather_main, pm10.all, group = weather_main)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(weather_main, co.traffic, group = weather_main)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(weather_main, no2.all, group = weather_main)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(weather_main, so2.all, group = weather_main)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(weather_main, o3.all, group = weather_main)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(weather_main, chb.all, group = weather_main)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(weather_main, cht.all, group = weather_main)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
```

## pressure correlation
```{r}
ggplot(data, aes(pressure, pm10.all, group = pressure)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(pressure, co.traffic, group = pressure)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(pressure, no2.all, group = pressure)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(pressure, so2.all, group = pressure)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(pressure, o3.all, group = pressure)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(pressure, chb.all, group = pressure)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(pressure, cht.all, group = pressure)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
```

## humidity correlation

```{r}
ggplot(data, aes(humidity, pm10.all, group = humidity)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(humidity, co.traffic, group = humidity)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(humidity, no2.all, group = humidity)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(humidity, so2.all, group = humidity)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(humidity, o3.all, group = humidity)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(humidity, chb.all, group = humidity)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(humidity, cht.all, group = humidity)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
```

## clouds correlation

```{r}
ggplot(data, aes(clouds_all, pm10.all, group = clouds_all)) + geom_boxplot() + ylim(0, 70) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(clouds_all, co.traffic, group = clouds_all)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(clouds_all, no2.all, group = clouds_all)) + geom_boxplot() + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(clouds_all, so2.all, group = clouds_all)) + geom_boxplot()  + ylim(0, 5) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(clouds_all, o3.all, group = clouds_all)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(clouds_all, chb.all, group = clouds_all)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(clouds_all, cht.all, group = clouds_all)) + geom_boxplot()  + stat_summary(fun.y=mean, colour="darkred", geom="point")
```

## pollutant to pollutant correlations

```{r}
ggplot(data, aes(co.traffic, pm10.all, group = co.traffic)) + geom_boxplot() + ylim(0, 100) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(no2.all, pm10.all, group = no2.all)) + geom_boxplot() + ylim(0, 100) + xlim(0, 100) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(so2.all, pm10.all, group = so2.all)) + geom_boxplot() + ylim(0, 100) + xlim(0, 15) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(o3.all, pm10.all, group = o3.all)) + geom_boxplot() + ylim(0, 100)  + stat_summary(fun.y=mean, colour="darkred", geom="point")


ggplot(data, aes(no2.all, co.traffic, group = no2.all)) + geom_boxplot() + xlim(0, 100) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(so2.all, co.traffic, group = so2.all)) + geom_boxplot() + xlim(0, 15) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(o3.all, co.traffic, group = o3.all)) + geom_boxplot() + ylim(0, 1.5)  + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(so2.all, no2.all, group = so2.all)) + geom_boxplot() + xlim(0, 30) + stat_summary(fun.y=mean, colour="darkred", geom="point")
ggplot(data, aes(o3.all, no2.all, group = o3.all)) + geom_boxplot()   + stat_summary(fun.y=mean, colour="darkred", geom="point")

ggplot(data, aes(o3.all, so2.all, group = o3.all)) + geom_boxplot() + ylim(0, 20)  + stat_summary(fun.y=mean, colour="darkred", geom="point")
```

